Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alexander Matyasko"'
Autor:
Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio
Adversarial robustness has become a central goal in deep learning, both in the theory and the practice. However, successful methods to improve the adversarial robustness (such as adversarial training) greatly hurt generalization performance on the un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3fb95ed0b01c070e4243f33d92fe90c
http://arxiv.org/abs/1906.06784
http://arxiv.org/abs/1906.06784
Autor:
Lap-Pui Chau, Alexander Matyasko
Publikováno v:
IJCNN
Deep neural networks have achieved significant success for image recognition problems. Despite the wide success, recent experiments demonstrated that neural networks are sensitive to small input perturbations, or adversarial noise. The lack of robust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4c5e807e63bff1d70c2b76ad27155cb
https://doi.org/10.1109/ijcnn.2017.7965869
https://doi.org/10.1109/ijcnn.2017.7965869
